Network-on-chip traffic modeling for data flow applications

  • Authors:
  • Romain Prolonge;Fabien Clermidy

  • Affiliations:
  • CEA -- LETI - MINATEC, Grenoble, France;CEA -- LETI - MINATEC, Grenoble, France

  • Venue:
  • Proceedings of the 2013 Workshop on Rapid Simulation and Performance Evaluation: Methods and Tools
  • Year:
  • 2013

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Abstract

Network traffic modeling is largely used for investigating Network-on-Chip characteristics and performances. When traffic patterns, based on real applications, are accurate but long to obtain and limited in terms of flexibility, synthetic traffics are flexible but do not offer the required accuracy. In this paper, we present a new traffic model with more accuracy than synthetic patterns and more flexibility than those based on real applications. It introduces concepts used in data-flow applications such as data dependencies and tasks locality. In a 3GPP-LTE application test case, we demonstrated that our model is more accurate than synthetic traffics. Indeed, the difference between our model and the application can be less than 1%, while, the difference between synthetic traffics and the application is up to 54%. Moreover, our proposal can be 33% faster than realistic traffics.